Efficient Detection of Shilling's Attacks in Collaborative Filtering Recommendation Systems Using Deep Learning Models.
Mahsa EbrahimianRasha KashefPublished in: IEEM (2020)
Keyphrases
- collaborative filtering
- recommendation systems
- learning models
- data sparsity
- recommender systems
- user preferences
- matrix factorization
- recommendation quality
- collaborative filtering algorithms
- collaborative filtering recommendation algorithm
- machine learning
- product recommendation
- recommendation algorithms
- learning tasks
- transfer learning
- learning algorithm
- machine learning algorithms
- classification models
- user profiles
- user ratings
- web search
- learning to rank
- personalized recommendation
- user similarity
- collaborative filtering recommendation
- loss function
- semi supervised learning
- image segmentation
- data sets